A Stochastic Collaborative Planning Approach for Electric Vehicle Charging Stations and Power Distribution System

被引：0

作者：

Wang, Shu ^{[1
]}

Xu, Yan ^{[1
]}

Dong, Zhao Yang ^{[1
]}

Zhao, Junhua ^{[3
]}

Yao, Weifeng ^{[4
]}

Luo, Fengji ^{[2
]}

Wang, Yijia ^{[1
]}

机构：

[1] Univ Sydney, Sydney, NSW, Australia

[2] Ctr Intelligent Elect Networks, Newcastle, NSW, Australia

[3] Chinese Univ Hong Kong Shen Zhen, Shenzhen, Peoples R China

[4] State Grid Corp China, Beijing, Peoples R China

来源：

2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM) | 2016年

关键词：

Electric vehicle; charging station; multi-objective optimization; distribution system planning; smart grid;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The increasingly prevalence of electric vehicles (EVs) calls for the effective planning of the charging infrastructure. In this paper, a multi-objective, multi-stage collaborative planning model is proposed for the EV charging stations and power distribution network. The model aims to minimize the investment & operation costs of the distribution system while maximizing the annually captured traffic flow. The uncertainties of the charging loads are considered. The MOEA/D algorithm is employed to find the Pareto frontier of the model. The simulation results prove the effectiveness of the model.

引用

页数：5

共 50 条

[1] Stochastic Collaborative Planning of Electric Vehicle Charging Stations and Power Distribution System
Wang, Shu
Dong, Zhao Yang
Luo, Fengji
Meng, Ke
Zhang, Yongxi
[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (01) : 321 - 331
[2] Stochastic Collaborative Planning Method for Electric Vehicle Charging Stations
Wang, Shu
Meng, Ke
Luo, Fengji
Xu, Zhao
zheng, Yu
[J]. 2016 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2016,
[3] Planning of Distribution Network with Electric Vehicle Charging Stations
Liu, Shenghui
Yang, Dongsheng
[J]. PROCEEDINGS OF 2018 5TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS), 2018, : 1091 - 1095
[4] Planning of electric vehicle charging stations and distribution system with highly renewable penetrations
Zhang, Jingqi
Wang, Shu
Zhang, Cuo
Luo, Fengji
Dong, Zhao Yang
Li, Yingliang
[J]. IET ELECTRICAL SYSTEMS IN TRANSPORTATION, 2021, 11 (03) : 256 - 268
[5] Stochastic Optimization of Electric Vehicle Charging Stations
Chrysanidis, Georgios
Kosmanos, Dimitrios
Argyriou, Antonios
Maglaras, Leandros
[J]. 2019 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI 2019), 2019, : 1 - 7
[6] Optimal Planning of Electric-Vehicle Charging Stations in Distribution Systems
Liu, Zhipeng
Wen, Fushuan
Ledwich, Gerard
[J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2013, 28 (01) : 102 - 110
[7] Planning of Charging Stations for Shared Electric Vehicle Based on Dynamic Stochastic Programming
Wang, Yang
Tang, Kuanwu
Lai, Kexing
Zhao, Zhenghui
Xiong, Jun
Liu, Wenliang
[J]. Dianwang Jishu/Power System Technology, 2022, 46 (09): : 3485 - 3495
[8] Economic planning approach for electric vehicle charging stations integrating traffic and power grid constraints
Huang, Xiaoqing
Chen, Jie
Yang, Hang
Cao, Yijia
Guan, Weide
Huang, Bicheng
[J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (17) : 3925 - 3934
[9] Stability Analysis of DC Distribution System Considering Stochastic State of Electric Vehicle Charging Stations
Fu, Qiang
Du, Wenjuan
Wang, Haifeng
Xiao, Xianyong
[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (03) : 1893 - 1903
[10] Optimal planning of power distribution system employing electric vehicle charging stations and distributed generators using metaheuristic algorithm
Mehroliya, Shweta
Arya, Anoop
[J]. ELECTRICAL ENGINEERING, 2024, 106 (02) : 1373 - 1389

← 1 2 3 4 5 →